Security Assistant Incorporating Generative AI Technology

[INQ. NO. 2505E07] As interest in AI grows worldwide, cyberattacks using AI are also increasing. In particular, with the emergence of generative AI, represented by Chat GPT and Deepseek, the importance of AI security is growing even more.
IGLOO Corporation recently unveiled a security assistant service ‘AiR’ incorporating generative AI technology.
AiR is an AI security assistant service that provides the basis for the AI model’s judgment on specific security data based on classification AI, explainable AI, and generative AI.
Users can evaluate the reliability of AI answers by checking the judgment criteria of the AI model, and increase their understanding of AI answers based on explanations in natural language. AiR increases the reliability and accuracy of AI judgments, enabling more agile responses to cyber attacks.
The ‘NPU-based AI security assistant appliance’ is a buildable appliance that combines AiR and NPU servers. It increases the speed and accuracy of services based on a high-performance, high-efficiency neural network processing unit (NPU) server, and is provided as an independent appliance, allowing the user to apply generative AI services safely without worrying about data leakage.

AiR has the following features: Stable generative AI appliance; high user convenience and accessibility; and guaranteed stability in the response and query process. In particular, it is possible to check the presence or absence of an attack result simply by entering a payload. Moreover, it supports various generative AI models such as ChatGPT, Gemini, Claude, and GREEN Ai.
A spokesperson for the company explained, “AiR increases the reliability and understanding of the attack results judged by AI, thereby eliminating the knowledge gap within the security organization and ensuring that optimal measures can always be implemented quickly.In particular, AiR has become more powerful by combining it with the NPU server. Through differentiated hybrid AI detection technology and the performance of the NPU server, we can increase the accuracy of decision-making and further strengthen the stability of the security environment.”
There are about 10 questions that apply to AiR, and the company is automating them to help with security control and making them easier to use by utilizing external APIs. Based on the results learned through AiR, we can know whether an external access attempt is an attack or normal, and we can periodically learn about patterns to improve the performance of the model.

 
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